NDLI: Improved VUI system based on maintenance device

Content Provider	IEEE Xplore Digital Library
Author	Sun Guang-li Huang Wei Li Ji
Copyright Year	2011
Description	Author affiliation: School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China (Sun Guang-li; Huang Wei; Li Ji)
Abstract	At present, the related information is obtained mainly through the on-site access to maintenance manual and technical manual during the aircraft maintenance. By using the traditional method, not only is it more likely to lost some information, but also it cost a lot of time and the maintenance efficiency is very low. This situation offers a good opportunity for appearance of voice user interface (VUI). Considering the application environment of VUI, this paper design an improved VUI based on maintenance device, which consist of the speech recognition system, the menu system and module update system. In this paper, the maintenance manuals and other technical data is transformed into electronic documents and the corresponding menu options through the professional analysis and arrangement. The electronic documents are stored in the backend server. By introducing VUI and speech recognition technology, applying the VUI as the human-computer interaction interfaces and speech recognition as the human-computer interaction way, the system can automatically choose corresponding menu according to the speech broadcast. It makes input not just confined to the operation by hand and provides “hands-free” services for export, which greatly increase the maintenance efficiency. Finally, compared with the traditional VUI, the improved VUI can constantly update the HMM model and can rapidly adapt to different kinds of environment, so that the recognition rate and anti-noise capability is increased.
Starting Page	510
Ending Page	513
File Size	163127
Page Count	4
File Format	PDF
ISBN	9781457706028
e-ISBN	9781457706035
e-ISBN	9781457706011
DOI	10.1109/ICCPS.2011.6092247
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Hidden Markov models Speech recognition Maintenance engineering Speech Feature extraction Servers
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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